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KLİNİK KARAR DESTEK ARAÇLARININ KULLANILMASININ D VİTAMİNİ MALİYET ETKİNLİĞİNE ETKİSİ

Year 2024, , 137 - 144, 24.10.2024
https://doi.org/10.54270/atljm.2024.64

Abstract

Amaç: D vitamini testleri tıbbi uygulamada tüm dünyada yaygın olarak talep edilmektedir. Birçok laboratuvar, sistem üzerindeki gereksiz talep yükünü ve dolayısıyla maliyet yükünü azaltmak için klinik karar destek sistemlerinin kullanımına yönelmektedir. Bu çalışmada D vitamini test isteği öncesi ve sonrasında uygulanan klinik karar destek sistemlerinin maliyete ve test isteğindeki değişime etkisi incelenmiştir.
Gereç ve Yöntem: Klinik karar destek sistemlerinin hastane yazılım sistemine girmesinden önceki (8/12/2018-8/03/2019) ve sonrası (9/03/2019-9/06/2019) 90 gün boyunca test isteklerini analiz ettik. Bu sistem, yoğun bakım ve yatan hastalar dışında bazı kliniklerden gelen test taleplerini tamamen bloke ederken, bazılarında tanı amaçlı taleplere izin veriyor ve hastanın son 90 gün içinde D vitamini testi yaptırmış olması halinde sistemde ekran uyarısı oluşturuyordu. Test siparişlerini analiz etmek için Microsoft Excel'in Pivot Tablo aracı kullanıldı. Klinik karar destek sistemlerinin tanıtılmasından önceki ve sonraki test maliyetleri karşılaştırıldı.
Bulgular: İlk dönemde 31.066 25(OH) D vitamini talebi oldu. İkinci dönemde aynı analit için 18.830 talep geldi. Dolayısıyla test isteminde yaklaşık %39'luk (12.236 test) bir azalmaya gerçekleşti (p<0.0001). Bu da, üç ayda 37.350 ABD Doları veya tahmini yıllık yaklaşık 150.000 ABD Doları tasarruf olarak hesaplanmıştır.
Sonuç: Hastanenin yazılım sistemine klinik karar destek sistemlerinin eklenmesi, 25(OH) D vitamini testi talebinde ve maliyette önemli bir azalma ile sonuçlanmıştır. Laboratuvarlarda yeni klinik yazılım sistemlerinin geliştirilmesi ve kullanılması hem kaynak hem de insan işgücü verimliliği açısından önemlidir.

Ethical Statement

Etik kurul mevcut değildir. Çalışmamızda materyal metod bölümünde ''Biochemical measurement'' başlığı altında ''Veriler araştırmacıların kullanımına açık olduğundan ve tanımlayıcı hasta sonuçları içermediğinden bu çalışma için etik kurul onayı ve bilgilendirilmiş onam formu alınmamıştır'' olarak belirtilmiştir. Çalışmada sadece d vitamini test sayısı kullanılmış olup sonuç içermemektedir.

References

  • Lang T. Laboratory demand management of repetitive testing - Time for harmonisation and an evidenced based approach. Clin Chem Lab Med. 2013;51:1139–1140
  • Khalifaand M, Khalid P. Reducing Unnecessary Laboratory Testing Using Health Informatics Applications: A Case Study on a Tertiary Care Hospital. Procedia Comput Sci. 2014;37:253–260
  • Zare S, Meidani Z, Shirdeli M, Nabovati E. Laboratory test ordering in in patien thospitals: a systematic review on the effects and features of clinical decision support systems. BMC Med Inform Decis Mak. 2021;21(1):20.
  • Roshanov PS, You JJ, Dhaliwal J, Koff D, Mackay JA, Weise- Kelly L, Navarro T, Wilczynski NL, Haynes RB; CCDSS Systematic Review Team. Can computerized clinical decision support systems improve practitioners’ diagnostic test ordering behavior? A decision-maker-researcher partnership systematic review. Implement Sci. 2011;6:88.
  • Bridges SA, Papa L, Norris AE, Chase SK. Duplicated laboratory tests: evaluation of a computerized alert intervention abstract. J Healthc Qual. 2014;36:46-53.
  • Gottheil S, Khemani E, Copley K, Keeney M, Kinney J, Chin-Yee I, Gob A. Reducing inappropriate ESR testing with computerized clinical decision support. BMJ Qual Improv Rep. 2016;5:u211376.w4582
  • https://shgmlabdb.saglik.gov.tr/TR-40428/akilci-laboratuvarkullanimi-projesi-uyum-sureci-sonunda-yapilacak-olan-yerindedenetim-hakkinda-duyuru.html
  • Tangpricha V, Spina C, Yao M, Chen TC, Wolfe MM, Holick MF. Vitamin D deficiency enhances the growth of MC-26 colon cancer xenografts in Balb/c mice. J Nutr. 2005;135:2350-4.
  • Khazai N, Judd SE, Tangpricha V. Calciumand vitamin D: skeletal and extraskeletal health. Curr Rheumatol Rep. 2008;10:110-7.
  • Tai F, Chin-Yee I, Gob A, Bhayana V, Rutledge A. Reducing over utilisation of serum vitamin D testing at a tertiary care centre. BMJ Open Qual. 2020;9:e000929.
  • Holick MF. The vitamin D deficiency pandemic: Approaches for diagnosis, treatment and prevention. Rev Endocr Metab Disord. 2017;18:153-165.
  • Giovannucci E, Liu Y, Rimm EB, Hollis BW, Fuchs CS, Stampfer MJ, et al. Prospective study of predictors of vitamin D status and cancer incidence and mortality in men. J Natl Cancer Inst. 2006; 98:451-459.
  • Szymczak-Pajor I, Śliwińska A. Analysis of Association between Vitamin D Deficiency and Insulin Resistance. Nutriens. 2019;6;11:794.
  • https://istanbulism.saglik.gov.tr/TR-105318/akilci-laboratuvarkullanimi.html
  • Alpdemir M, Alpdemir MF. Vitamin D deficiency status in Turkey: A meta-analysis. Int J Med Biochem. 2019;2:118-31.
  • Felcher AH, Gold R, Mosen DM, Stoneburner AB. Decrease in unnecessary vitamin D testing using clinical decision support tools: making it harder to do the wrong thing. J Am Med Inform Assoc. 2017; 24:776-780.
  • Bilinski K, Boyages S. Evidence of overtesting for vitamin D in Australia: an analysis of 4.5 years of Medicare Benefits Schedule (MBS) data. BMJ open. 2013;3:2955.
  • Bilinski KL, Boyages SC. The rising cost of vitamin D testing in Australia: time to establish guidelines for testing. Med J Aust. 2012; 197: 90.
  • Sattar N, Welsh P, Panarelli M, Forouhi NG. Increasing requests for vitamin D measurement: costly, confusing, and with out credibility. The Lancet. 2012; 379: 95-96.
  • Roshanov PS, You JJ, Dhaliwal J, Koff D, Mackay JA, Weise-Kelly L et al. Can computerized clinical decision support systems improve practitioners’ diagnostic test ordering behavior? A decisionmaker-researcher partnership systematic review. Implement Sci. 2011;3;6:88.
  • Ko SQ, Quah P, Lahiri M. The cost of repetitive laboratory testing for chronic disease. Intern Med J. 2019;49:1168-1170.
  • Woodford HJ, Barrett S, Pattman S. Vitamin D: too much testing and treating? Clin Med (Lond) . 2018;18:196-200.
  • Kennel KA, Drake MT, Hurley DL. Vitamin D Deficiency in Adults: When to Test and How to Treat.Mayo Clin Proc. 2010; 85: 752–758.
  • CADTH Rapid Response Reports, in Vitamin D Testing in the General Population: A Review of the Clinical and Cost Effectiveness and Guidelines. Canadian Agency for Drugs and Technologies in Health, Ottawa (ON). 2015.
  • Turkish Ministry of Health Vitamin D Support Program Guide for Pregnant Women 2011. https://www.saglik.gov.tr/TR,11158/gebelere-d-vitamini-destek-programi.html

EFFECTS OF USING CLINICAL DECISION SUPPORT TOOLS ON VITAMIN D COST EFFECTIVENESS

Year 2024, , 137 - 144, 24.10.2024
https://doi.org/10.54270/atljm.2024.64

Abstract

Background: In medical practices worldwide, vitamin D testing is widely requested. However, the cost-effectiveness of vitamin D testing is a major concern. Many laboratories are turning to the use of clinical decision support systems (CDSS) to reduce unnecessary demand and thus the cost burden on the system. In this study, we investigated the impact of the implementation of CDSS on costs and changes in test demand before and after rationalisation of test demand.
Methods: We analysed testing requests 90 days before (8 December 2018 - 8 March 2019) and 90 days after (9 March 2019 - 9 June 2019) the implementation of the CDSS in the hospital's software system. While this system completely blocked test requests from some clinics, with the exception of the intensive care unit and the ward, it allowed diagnostic requests in other clinics 90 days before (8 December 2018 - 8 March 2019) and 90 days after (9 March 2019 - 9 June 2019) implementation of CDSS in the hospital software system. The system generated a screen warning if the patient had had a vitamin D test in the previous 90 days.The Microsoft Excel pivot table tool was used to analyse test orders. The cost of the tests was compared before and after the implementation of the clinical decision support system.
Results: There were 31,066 requests for 25(OH) vitamin D in the first period. There were 18,830 requests for the same analyte in the second period. This resulted in an approximately 39 percent reduction in testing requests (12,236 tests) (p<0.0001). Savings of $37,350 in three months, or an estimated annual savings of approximately $150,000.
Conclusions: Incorporating CDSS into the hospital's software system resulted in a significant reduction in requests for 25(OH) vitamin D testing. The development and use of new clinical software systems in laboratories is important in terms of both resource and human workforce efficiency.

Ethical Statement

Ethics committee approval and informed consent form were not obtained for this study since the data is available to researchers and does not contain descriptive patient results

References

  • Lang T. Laboratory demand management of repetitive testing - Time for harmonisation and an evidenced based approach. Clin Chem Lab Med. 2013;51:1139–1140
  • Khalifaand M, Khalid P. Reducing Unnecessary Laboratory Testing Using Health Informatics Applications: A Case Study on a Tertiary Care Hospital. Procedia Comput Sci. 2014;37:253–260
  • Zare S, Meidani Z, Shirdeli M, Nabovati E. Laboratory test ordering in in patien thospitals: a systematic review on the effects and features of clinical decision support systems. BMC Med Inform Decis Mak. 2021;21(1):20.
  • Roshanov PS, You JJ, Dhaliwal J, Koff D, Mackay JA, Weise- Kelly L, Navarro T, Wilczynski NL, Haynes RB; CCDSS Systematic Review Team. Can computerized clinical decision support systems improve practitioners’ diagnostic test ordering behavior? A decision-maker-researcher partnership systematic review. Implement Sci. 2011;6:88.
  • Bridges SA, Papa L, Norris AE, Chase SK. Duplicated laboratory tests: evaluation of a computerized alert intervention abstract. J Healthc Qual. 2014;36:46-53.
  • Gottheil S, Khemani E, Copley K, Keeney M, Kinney J, Chin-Yee I, Gob A. Reducing inappropriate ESR testing with computerized clinical decision support. BMJ Qual Improv Rep. 2016;5:u211376.w4582
  • https://shgmlabdb.saglik.gov.tr/TR-40428/akilci-laboratuvarkullanimi-projesi-uyum-sureci-sonunda-yapilacak-olan-yerindedenetim-hakkinda-duyuru.html
  • Tangpricha V, Spina C, Yao M, Chen TC, Wolfe MM, Holick MF. Vitamin D deficiency enhances the growth of MC-26 colon cancer xenografts in Balb/c mice. J Nutr. 2005;135:2350-4.
  • Khazai N, Judd SE, Tangpricha V. Calciumand vitamin D: skeletal and extraskeletal health. Curr Rheumatol Rep. 2008;10:110-7.
  • Tai F, Chin-Yee I, Gob A, Bhayana V, Rutledge A. Reducing over utilisation of serum vitamin D testing at a tertiary care centre. BMJ Open Qual. 2020;9:e000929.
  • Holick MF. The vitamin D deficiency pandemic: Approaches for diagnosis, treatment and prevention. Rev Endocr Metab Disord. 2017;18:153-165.
  • Giovannucci E, Liu Y, Rimm EB, Hollis BW, Fuchs CS, Stampfer MJ, et al. Prospective study of predictors of vitamin D status and cancer incidence and mortality in men. J Natl Cancer Inst. 2006; 98:451-459.
  • Szymczak-Pajor I, Śliwińska A. Analysis of Association between Vitamin D Deficiency and Insulin Resistance. Nutriens. 2019;6;11:794.
  • https://istanbulism.saglik.gov.tr/TR-105318/akilci-laboratuvarkullanimi.html
  • Alpdemir M, Alpdemir MF. Vitamin D deficiency status in Turkey: A meta-analysis. Int J Med Biochem. 2019;2:118-31.
  • Felcher AH, Gold R, Mosen DM, Stoneburner AB. Decrease in unnecessary vitamin D testing using clinical decision support tools: making it harder to do the wrong thing. J Am Med Inform Assoc. 2017; 24:776-780.
  • Bilinski K, Boyages S. Evidence of overtesting for vitamin D in Australia: an analysis of 4.5 years of Medicare Benefits Schedule (MBS) data. BMJ open. 2013;3:2955.
  • Bilinski KL, Boyages SC. The rising cost of vitamin D testing in Australia: time to establish guidelines for testing. Med J Aust. 2012; 197: 90.
  • Sattar N, Welsh P, Panarelli M, Forouhi NG. Increasing requests for vitamin D measurement: costly, confusing, and with out credibility. The Lancet. 2012; 379: 95-96.
  • Roshanov PS, You JJ, Dhaliwal J, Koff D, Mackay JA, Weise-Kelly L et al. Can computerized clinical decision support systems improve practitioners’ diagnostic test ordering behavior? A decisionmaker-researcher partnership systematic review. Implement Sci. 2011;3;6:88.
  • Ko SQ, Quah P, Lahiri M. The cost of repetitive laboratory testing for chronic disease. Intern Med J. 2019;49:1168-1170.
  • Woodford HJ, Barrett S, Pattman S. Vitamin D: too much testing and treating? Clin Med (Lond) . 2018;18:196-200.
  • Kennel KA, Drake MT, Hurley DL. Vitamin D Deficiency in Adults: When to Test and How to Treat.Mayo Clin Proc. 2010; 85: 752–758.
  • CADTH Rapid Response Reports, in Vitamin D Testing in the General Population: A Review of the Clinical and Cost Effectiveness and Guidelines. Canadian Agency for Drugs and Technologies in Health, Ottawa (ON). 2015.
  • Turkish Ministry of Health Vitamin D Support Program Guide for Pregnant Women 2011. https://www.saglik.gov.tr/TR,11158/gebelere-d-vitamini-destek-programi.html
There are 25 citations in total.

Details

Primary Language English
Subjects Clinical Chemistry, Clinical Sciences (Other)
Journal Section Research Articles
Authors

Zeynep Mine Yalçınkaya Kara 0000-0002-5606-3401

David Ojalvo 0000-0003-2050-4444

Berrin Öztaş 0000-0002-2907-5108

Erdinç Serin 0000-0002-4670-2708

Early Pub Date September 5, 2024
Publication Date October 24, 2024
Submission Date May 15, 2024
Acceptance Date July 1, 2024
Published in Issue Year 2024

Cite

Vancouver Yalçınkaya Kara ZM, Ojalvo D, Öztaş B, Serin E. EFFECTS OF USING CLINICAL DECISION SUPPORT TOOLS ON VITAMIN D COST EFFECTIVENESS. ATLJM. 2024;4(11):137-44.